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Browse vetted remote Scikit-learn positions at AI companies — ML engineering, classical model development, and feature engineering roles.
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This marketplace has enough traffic to support meaningful modelling, but not enough patience for academic detours. We need an applied scientist who ca...
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We are looking for a junior data scientist to support analysis around staffing, patient flow, and appointment utilisation. The role is a good fit for...
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Posted 5 months ago
United States — New York (UTC-4)
We need help making our retail shelf-auditing models materially better in 12 weeks. The weak spots are known: facing counts, promo-tag detection, and...
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Posted 5 months ago
United States — Los Angeles (UTC-7)
We make a recovery and sleep tracking ring. 2.8 million active users. 60 billion biometric readings in our data lake at last count — heart rate, HRV,...
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We are a news intelligence company. We aggregate and process content from 85,000 news sources in 42 languages in real time. Our platform is used by co...
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We are an electricity distribution network operator. We manage the infrastructure that delivers power to 3.4 million homes and businesses across a sig...
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Our software checks imaging quality before a study moves deeper into the radiology workflow. We are not trying to diagnose disease. We are trying to c...
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This is an operations-heavy data science role inside a building materials distributor with 61 branches across the Midwest. The team needs better deman...
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We build precision agriculture software for smallholder and mid-size farms in East Africa and South Asia. Our mobile application is used by 140,000 fa...
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We build software that helps energy grid operators and electricity traders manage the variability introduced by renewable generation. Our forecasting...
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Role guide
Scikit-learn is the workhorse of applied machine learning. Remote Scikit-learn jobs involve building production ML models for classification, regression, and clustering tasks — often as part of a larger data platform or AI feature pipeline. Many AI companies use Scikit-learn alongside PyTorch or XGBoost in production systems.
Are there remote jobs specifically for Scikit-learn engineers?
Scikit-learn is rarely the only requirement — it typically appears alongside Python, Pandas, and sometimes PyTorch. Roles involving applied ML, prediction systems, or feature engineering are the best fit.
Is Scikit-learn relevant if a company uses PyTorch or TensorFlow?
Yes. Scikit-learn handles preprocessing, classical baselines, and evaluation utilities that complement deep learning frameworks. Most ML engineers use Scikit-learn daily regardless of their primary modelling framework.
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